opennlp.uima.namefind.NameFinder Maven / Gradle / Ivy
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* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package opennlp.uima.namefind;
import org.apache.uima.UimaContext;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.cas.CAS;
import org.apache.uima.cas.Feature;
import org.apache.uima.cas.FeatureStructure;
import org.apache.uima.cas.Type;
import org.apache.uima.cas.TypeSystem;
import org.apache.uima.cas.text.AnnotationFS;
import org.apache.uima.resource.ResourceAccessException;
import org.apache.uima.resource.ResourceInitializationException;
import opennlp.tools.namefind.NameFinderME;
import opennlp.tools.namefind.TokenNameFinderModel;
import opennlp.tools.util.Span;
import opennlp.tools.util.eval.Mean;
import opennlp.uima.util.AnnotatorUtil;
import opennlp.uima.util.UimaUtil;
/**
* OpenNLP Name annotator.
*
* Mandatory parameters
*
* Type Name Description String opennlp.uima.ModelName The name of the model file String opennlp.uima.SentenceType The full name of the sentence type String opennlp.uima.TokenType The full name of the token type String opennlp.uima.NameType The full name of the name type
*
* Optional parameters
*
* Type Name Description String opennlp.uima.ProbabilityFeature The name of the double
* probability feature (not set by default) Integer opennlp.uima.BeamSize String opennlp.uima.DocumentConfidenceType String opennlp.uima.DocumentConfidenceType
*/
public final class NameFinder extends AbstractNameFinder {
public static final String NAME_TYPE_PARAMETER = "opennlp.uima.NameType";
public static final String NAME_TYPE_MAP_PARAMETER = "opennlp.uima.NameTypeMap";
public static final String TOKEN_PATTERN_OPTIMIZATION =
"opennlp.uima.TokenPatternOptimization";
// Token feature
public static final String TOKEN_FEATURE_PARAMETER =
"opennlp.uima.namefinder.TokenFeature";
public static final String TOKEN_FEATURE_PREV_WINDOW_SIZE_PARAMETER =
TOKEN_FEATURE_PARAMETER + ".previousWindowSize";
public static final String TOKEN_FEATURE_NEXT_WINDOW_SIZE_PARAMETER =
TOKEN_FEATURE_PARAMETER + ".nextWindowSize";
// Token class feature
public static final String TOKEN_CLASS_FEATURE_PARAMETER =
"opennlp.uima.namefinder.TokenClassFeature";
public static final String TOKEN_CLASS_FEATURE_PREV_WINDOW_SIZE_PARAMETER =
TOKEN_CLASS_FEATURE_PARAMETER + ".previousWindowSize";
public static final String TOKEN_CLASS_FEATURE_NEXT_WINDOW_SIZE_PARAMETER =
TOKEN_CLASS_FEATURE_PARAMETER + ".nextWindowSize";
private NameFinderME mNameFinder;
private Feature probabilityFeature;
private Type documentConfidenceType;
private Feature documentConfidenceNameTypeFeature;
private Feature documentConfidenceFeature;
private Mean documentConfidence = new Mean();
/**
* Initializes a new instance.
*
* Note: Use {@link #initialize(UimaContext) } to initialize
* this instance. Not use the constructor.
*/
public NameFinder() {
super("OpenNLP Maxent Name annotator");
}
/**
* Initializes the current instance with the given context.
*
* Note: Do all initialization in this method, do not use the constructor.
*/
public void initialize()
throws ResourceInitializationException {
super.initialize();
TokenNameFinderModel model;
try {
TokenNameFinderModelResource modelResource =
(TokenNameFinderModelResource) context.getResourceObject(UimaUtil.MODEL_PARAMETER);
model = modelResource.getModel();
} catch (ResourceAccessException e) {
throw new ResourceInitializationException(e);
}
mNameFinder = new NameFinderME(model);
}
/**
* Initializes the type system.
*/
public void typeSystemInit(TypeSystem typeSystem)
throws AnalysisEngineProcessException {
super.typeSystemInit(typeSystem);
probabilityFeature = AnnotatorUtil.getOptionalFeatureParameter(context, mNameType,
UimaUtil.PROBABILITY_FEATURE_PARAMETER, CAS.TYPE_NAME_DOUBLE);
documentConfidenceType = AnnotatorUtil.getOptionalTypeParameter(context, typeSystem,
"opennlp.uima.DocumentConfidenceType");
if (documentConfidenceType != null) {
documentConfidenceNameTypeFeature = AnnotatorUtil.getRequiredFeature(
documentConfidenceType, "nameType");
documentConfidenceFeature = AnnotatorUtil.getRequiredFeature(
documentConfidenceType, "confidence");
}
}
protected Span[] find(CAS cas, String[] tokens) {
Span[] names = mNameFinder.find(tokens);
double[] probs = mNameFinder.probs();
for (double prob : probs) {
documentConfidence.add(prob);
}
return names;
}
protected void postProcessAnnotations(Span[] detectedNames,
AnnotationFS[] nameAnnotations) {
if (probabilityFeature != null) {
double[] probs = mNameFinder.probs(detectedNames);
for (int i = 0; i < nameAnnotations.length; i++) {
nameAnnotations[i].setDoubleValue(probabilityFeature, probs[i]);
}
}
}
protected void documentDone(CAS cas) {
// TODO: Create confidence FS
// contains String name type
// contains Double prob
if (documentConfidenceType != null) {
FeatureStructure confidenceFS = cas.createFS(documentConfidenceType);
confidenceFS.setDoubleValue(documentConfidenceFeature,
documentConfidence.mean());
confidenceFS.setStringValue(documentConfidenceNameTypeFeature,
mNameType.getName());
cas.addFsToIndexes(confidenceFS);
}
// Clears the adaptive data which was created for the current document
mNameFinder.clearAdaptiveData();
documentConfidence = new Mean();
}
/**
* Releases allocated resources.
*/
public void destroy() {
mNameFinder = null;
}
}